How Long to Read Mathematical Statistics with Applications in R

How Long Does it Take to Read Mathematical Statistics with Applications in R?

It takes the average reader 14 hours and 5 minutes to read Mathematical Statistics with Applications in R by Kandethody M. Ramachandran

Assuming a reading speed of 250 words per minute. Learn more

Description

Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods

How long is Mathematical Statistics with Applications in R?

Mathematical Statistics with Applications in R by Kandethody M. Ramachandran is 826 pages long, and a total of 211,456 words.

This makes it 279% the length of the average book. It also has 258% more words than the average book.

How Long Does it Take to Read Mathematical Statistics with Applications in R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 19 hours and 15 minutes to read Mathematical Statistics with Applications in R aloud.

What Reading Level is Mathematical Statistics with Applications in R?

Mathematical Statistics with Applications in R is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Mathematical Statistics with Applications in R?

Mathematical Statistics with Applications in R by Kandethody M. Ramachandran is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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